DeepSeek V4 Flash 0731

Post by theogravity » Sat, Aug 08, 2026, 7:05 AM UTC

zacksiri wrote: post #327

theogravity wrote: post #320

Earlier quoted context omitted.

You're using it on low, that's why. There's a huge difference in performance from low to max effort.

I’m comparing same / similar settings between models. I can’t use high on one and low on others it’s not a fair test. Not sure why I was downvoted. But seems the downvoter is quick to downvote anything that doesn’t fit the narrative they’re looking for. I’m just reporting my findings.

Post by chii » Sat, Aug 08, 2026, 7:08 AM UTC

abixb wrote: post #162

LaurensBER wrote: post #9

I've been using it extensively since the release and the best summary I can give is that it's good enough to use it for (almost) everything and cheap enough that the cost are irrelevant. I'm running it in Oh My Pi with a second instance running as "advisor" and even with 5-6 active sessions (effectively 12 streams) I'm struggling to spend more than 5 bucks per day. OpenCode Go even has double limits temporarily so fo…

If what you're saying is true and accurate, then US-based AI labs are in big trouble. The only saving grace might be some sort of a 'national security' proclamation banning the use of state-of-the-art Chinese (and non-US) models across US federal and state governments and large enterprises (especially ones with federal government contracts), but even still, US AI labs will probably lose out massively on international…

Post by [deleted] » Sat, Aug 08, 2026, 7:13 AM UTC

FernandoTN wrote: post #194

abixb wrote: post #162

Earlier quoted context omitted.

If what you're saying is true and accurate, then US-based AI labs are in big trouble. The only saving grace might be some sort of a 'national security' proclamation banning the use of state-of-the-art Chinese (and non-US) models across US federal and state governments and large enterprises (especially ones with federal government contracts), but even still, US AI labs will probably lose out massively on international…

I think you're overlooking the fact that for long-horizon tasks, even small errors compound over time and can lead to catastrophic outcomes. For simple queries, we have reached the threshold since the beginning of the year, and models are good enough from every provider to make a meaningful difference between one another. (ChatGPT, Claude, Gemini, Grok, MuseSpark, Kimi, DeepSeek, GLM...) The real unlock will be, and…

Post by Cookingboy » Sat, Aug 08, 2026, 7:18 AM UTC

oceanplexian wrote: post #359

Cookingboy wrote: post #284

Earlier quoted context omitted.

Except Fable won’t be costing $100 for enterprises that will be considering the Chinese models. If $100 Claud Max subscription works for you, then great. But you have to remember your pricing is subsidized by enterprises that pay hundreds of thousands of dollars each month, if not more, to Anthropic. For those companies, a Chinese model that can cut their AI spend from $1M/month to $200k suddenly seems attractive. An…

I don’t think the industry knows how to price this stuff. Deepseek is great (I’m running it on a RTX 6000 pro setup) but it’s nothing like Fable. It’s still strongly human-in-the-loop which is fine, until you experience how good these models can be. Think about it this way. Let’s say you could buy an LLM that gets things right 98% of the time. But there’s another LLM that’s 100x the price but gets things right 99.9%…

Post by onkarkdev » Sat, Aug 08, 2026, 7:24 AM UTC

FernandoTN wrote: post #194

abixb wrote: post #162

Earlier quoted context omitted.

If what you're saying is true and accurate, then US-based AI labs are in big trouble. The only saving grace might be some sort of a 'national security' proclamation banning the use of state-of-the-art Chinese (and non-US) models across US federal and state governments and large enterprises (especially ones with federal government contracts), but even still, US AI labs will probably lose out massively on international…

I think you're overlooking the fact that for long-horizon tasks, even small errors compound over time and can lead to catastrophic outcomes. For simple queries, we have reached the threshold since the beginning of the year, and models are good enough from every provider to make a meaningful difference between one another. (ChatGPT, Claude, Gemini, Grok, MuseSpark, Kimi, DeepSeek, GLM...) The real unlock will be, and…